Abstract
We reminisce and discuss applications of algorithmic probability to a wide range of problems in artificial intelligence, philosophy and technological society. We propose that Solomonoff has effectively axiomatized the field of artificial intelligence, therefore establishing it as a rigorous scientific discipline. We also relate to our own work in incremental machine learning and philosophy of complexity. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Özkural, E. (2013). Diverse consequences of algorithmic probability. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7070 LNAI, pp. 285–298). Springer Verlag. https://doi.org/10.1007/978-3-642-44958-1_22
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